Work Experience

MORGAN STANLEY

Fixed Income | Senior Technology Associate | Mar 2023 ‐ Ongoing
  • Sole contributor in Orchestration Layer between UI and backend apps
  • Gathered requirements from the business side and designed REST APIs
  • Developed services to fetch data from downstream services for order creation and order status applications using Java and Apache Camel
  • Provided KTs and helped team in Production deployment
Unit Investment Trust | Technology Associate | Dec 2022 ‐ Feb 2023
  • Developed tool to keep legacy database consistent with modern DB
  • Developed data services in UIT modern platforms using Spring JDBC
  • Developed services to fetch data from downstream services for order creation and order status applications using Java and Apache Camel
    Gen AI Hackathon | Jul 2023 ‐ Aug 2023
  • Developed a tool using Python and OpenAI that can provide solutions to a technical or business problem in textual and diagram formats
  • Integrated the tool with Firm’s inhouse architecture storehouse to provide solutions inspired form existing blueprint
  • This tool offered a playground for developers to expeirment and brainstorm on new ideas and design
  • Presented a demo of the project at department level

Internship

MORGAN STANLEY

  • May 2021 – July 2021
  • Wealth Mangement Technolgy Division
  • Technology Analyst Intern
  • Built greenfield web application used by 100s of Financial Advisors
  • Made responsive, compact, easy to use frontend screens using Angular
  • Integrated Stored Procedure calls and external API calls using Spring Boot and Spring JDBC
  • Followed agile practices , part of design and business domain discussions and gave firm wide presentation.
Internship Certificate

Projects

SEMANTIC PLAGIARISM

  • Nov 2020 – Apr 2021
  • Mentors: Dr. Romi Banerjee and Dr. Debarati Bhunia Chakraborty
  • Third Year B.Tech Project
  • Developed a utility to convert handwritten text to digital text.
  • Formulated utilities like real plagiarism, semantic similarity, online plagiarism, and textual entailment analysis for a thorough analysis of several textual submissions with the help of several similarity features.
  • Used binary classification model, regression model, and multi-class model.
  • Developed a compact and user-friendly website using React for the project.
Codebase Link Demo Video Project Report

AUTOMATIC ANSWER GRADER

  • Jan 2020 – Jul 2020
  • Mentor: Dr. Anand Mishra
  • Second Year B.Tech Project
  • Designed and implemented a set of algorithms aided by the image processing libraries of OpenCV for grading OMR sheets and hosted it using flask API on AWS EC2 instance
  • Built a cross platform mobile app using React Native which allows the userto grade OMR sheets by uploading pictures of the answer sheets
Codebase Link Demo Video Project Report

DIVINE HOSPITAL WEBSITE

  • Jun 2020 – Aug 2020
  • Freelancing Project
  • Designed and developed website for Divine Hospital, Siwan using HTML/CSS, Bootstrap, JavaScript and Django
  • Used by 100+ users monthly. Added functionality of booking appointments and the users can see information about doctors, services, treatments, gallery and about hospital.
Codebase Link Deployed Website

VID - STREAM AND DATABASE

  • Jun 2020 – Aug 2020
  • Mentors: Dr. Ravi Bhandari and Dr. Romi Banerjee
  • Combined Course Project for Computer Networks and Database Systems
  • Established video streaming over a local network and later saving streamed video on the devices
  • Clients can get access to the files that are present in any system connected to the network
  • Implemented centralized as well as distributed database using MySQL
  • Conditional Peer to Peer direct File transfer facilitated using Python Sockets
Codebase Link Demo Video Project Report

Time Series Analysis

  • Jul 2021 – Dec 2021
  • Mentor: Dr. Gaurav Harit
  • Final Year B.Tech Project
  • Anamoly Detection using LSTM Autoencoder model
  • Single and Multi step Time Series Prediction using LSTM and CNN-LSTM Encoder Decoder models
  • Worked on healthcare domain in following ways :
    • Prediction of number of patients incoming in a hospital
    • Prediction of sales of medicines
    • Anomaly of patients incoming in hospital
Codebase Link Project Report

Carry On

  • Mar 2021 – May 2021
  • Mentor: Dr. Suchetna Chakraborty and Dr. Ravi Bhandari
  • Course Project for Operating Systems
  • Implementation of Apple's proprietary handoff feature
  • Users can continue working on another system over the local network, the systems would be replicated.
  • Files transferred facilitated using Python Sockets as well as GRPC
  • Incorporated the above feature in a modified and more verbose shell implemented in Python
  • Integrated a fun to use voice recognition enabled shell
Codebase Link Demo Video Project Report

SYNC

  • Sep 2020 – Nov 2020
  • Mentor: Dr. Ravi Bhandari
  • Course Project for Data Communication
  • Synchronized music playback over systems connected to a local network
  • Music files present over the devices are listed and then vote is taken and the track is played after conditional file transferring
Codebase Link Demo Video Project Report

Complex Grid Path Optimization

  • Aug 2020 – Nov 2020
  • Mentor: Dr. Yashaswi Verma
  • Course Project for Artifficial Intelligence
  • Implementation of A* Search Algorithm
  • Finding out the best available path in terms of resources utilization; paths have different costs of traversal and utilities.
  • Formulated an appropriate heuristic function
  • Problem developed in such a way that it is scalable and can be used for real life traffic management and to identify paths that can save time and fuel while giving importance to personal preference as well
Codebase Link Demo Video Project Report

SYMPHONY- AUDIO SIGNAL PROCESSING

  • Sep 2019 – Dec 2019
  • Mentor: Dr. Rajlaxmi Chauhan
  • Course Project for Signals and Systems
  • Worked on the concepts of Fast Fourier Transform (FFT), Short Term Fourier Transform (STFT)
  • Computed the extent of similarity based on different parameters between music composition and the original composition
Codebase Link Project Report

IIT JODHPUR HEALTH CENTER MANAGEMENT

  • Aug 2019 – Nov 2019
  • Mentor: Dr. Anand Mishra
  • Course Project for Object Oriented Analysis and Design
  • Built a C++ portal automize the functioning of health center of IIT-J
  • The aim was to maintain coordination between different departments/classes and to prevent delays in the necessary formalities
Codebase Link

Competitive Coding Profile


Rated Expert at Codeforces with current rating of 1714 : dare20

Global rank 732 in Codeforces Global Round 10 [Division 1 + Division 2] among 11678 participants

Rated 4 star coder [Division 1] at Codechef with current rating of 1917 : dare20

Global rank 182 in Codechef May Cook-Off 2020 Division 2 among 4215 participants

Global rank 271 in Codechef January Long Challenge 2020 Division 2 among 12981 participants

Global rank 333 in Codechef June Lunchtime 2020 Division 1 Challenge

Global rank 366 in Codechef January Cook-Off 2020 Division 2 among 3207 participants

Global rank 521 in Codechef March Long Challenge 2020 Division 2 among 13594 participants

6 stars badge on HackerRank Problem Solving Algorithms domain murdock20

Achievements


Secured All India Rank of 2929 [top 0.3 percentage] in JEE Advanced 2018

Secured international rank 27 in SOF International Mathematics Olympiad

Received Foobar Invitaion from Google

Additional


Successfully competed with 1.05 M students in Joint Entrance Examination 2018 to secure a rank of 5289

Represented IIT Jodhpur in Smart India Hackathon 2020 [Selection was based on idea and prototype presentation]